Triple
T2424143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pellissippi State Community College |
E53485
|
entity |
| Predicate | hasCredential |
P38481
|
FINISHED |
| Object | associate of arts degrees |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: associate of arts degrees | Statement: [Pellissippi State Community College, hasCredential, associate of arts degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCredential Context triple: [Pellissippi State Community College, hasCredential, associate of arts degrees]
-
A.
hasCredit
Indicates that an entity possesses or is assigned a credit, such as financial credit, academic credit, or acknowledgment for a contribution.
-
B.
hasIdentity
Indicates that one entity is the same as, or is identified as, another specific entity or identifier.
-
C.
hasPass
Indicates that an entity possesses or has been granted a pass, such as a ticket, permit, or authorization to access something.
-
D.
hasUser
Indicates that an entity is associated with or linked to a specific user.
-
E.
hasCrypt
Indicates that one entity possesses, contains, or is associated with a crypt belonging to or located within it.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc9f342e88190a430b02842ded418 |
completed | March 7, 2026, 6:47 a.m. |
| PD | Predicate disambiguation | batch_69abc5a889948190b77de4ef6ac815a8 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc9f1ba608190b488874bed3533dd |
completed | March 7, 2026, 6:47 a.m. |
Created at: March 6, 2026, 9:42 p.m.